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* Renamed RefMeanFloat32Workload and RefMeanUint8Workload
to RefMeanWorkload, updated references to reflect this
change.
* Refactored RefFloorWorkload to use Decoders/Encoders,
to support the use of multiple data types.
* Deleted reference Unit8 Mean tests as they were
duplicates of the Float32 tests. Refactored these tests
to support multiple data types and updated references.
* Adjusted the values used in the tests' input tensors so
that they are more like floating point numbers
e.g. change 1.0f to 1.5f.
* Replace size_t with unsigned int in Mean ref workload,
for better compatibility with the Encoder/Decoder,
removed some unnecessary casts after this.
* Added ValidateTensorDataTypesMatch() function to
WorkloadData.cpp, added CreateIncorrectDimensionsErrorMsg
function to RefLayerSupport.cpp.
* Added passing and failing tests for ref IsMeanSupported.
Signed-off-by: James Conroy <james.conroy@arm.com>
Change-Id: Id3d44463d1385255c727a497d4026d21a49e7eb2
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* Refactored ResizeBilinear Reference Workloads to combine Float32 and Uint8 files
Signed-off-by: Ellen Norris-Thompson <ellen.norris-thompson@arm.com>
Change-Id: I725a830f4c4755a7d3a37ca68e31e44e7eb267cb
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Signed-off-by: Ferran Balaguer <ferran.balaguer@arm.com>
Change-Id: I848056aad4b172d432664633eea000843d85a85d
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* Do not use DataLayoutIndexed::GetIndex for weights and inputs,
as it causes a large regression in performance
* It turned out that the calculation of the indexes for the weights
and inputs was the way it was because of an optimization done
many months ago
* Reverted the relevant hunks and added some comments so
we won't make the same mistake again in the future
* Made the GetIndex function inline to speed up other usages
Change-Id: I343b2ef0446993086f58b9dea1f0de0ba2d92216
Signed-off-by: Matteo Martincigh <matteo.martincigh@arm.com>
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Change-Id: Ia413c6b5352dbb3390e7d84e837a542c24ae8813
Signed-off-by: nikraj01 <nikhil.raj@arm.com>
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* Refactored RefNormalizationFloat32Workload into RefNormalizationWorkload
* Added ref support of Uint8 norm workloads
* Added workload unit tests for Uint8
Change-Id: I063ce919c267e02a32e739848e49d75fd98a5eb6
Signed-off-by: Matteo Martincigh <matteo.martincigh@arm.com>
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I94c973ab747309c0214268c9c39f6d8f3fc7b255
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Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: I8af45afe851a9ccbf8bce54727147fcd52ac9a1f
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* Used DataLayoutIndexed::GetIndex wherever possible
* Removed unnecessary GetOffset function
Change-Id: Ieaad2def60e8de48dbc3afb63e550ac5883b3690
Signed-off-by: Matteo Martincigh <matteo.martincigh@arm.com>
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* Used the new DataLayoutIndexed::GetIndexmethod in BatchNormImpl
for convenience
Change-Id: Ifb7e5abbdb48d958ee2139d22b97cd8d479357bc
Signed-off-by: Matteo Martincigh <matteo.martincigh@arm.com>
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for convenience
* Added GetIndex method to DataLayoutIndexed
* Refactored TensorBufferArrayView::Get to use the new method
Change-Id: Iae08b2761bddeda9e935b25e6bc4985f2d386cd3
Signed-off-by: Matteo Martincigh <matteo.martincigh@arm.com>
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handle Float32 and QAsymm8 types
* Removed the type-specific workload implementations
* Added type-independent RefBatchNormalizationWorkload implementation
* Reworked BachNormImpl to use decoders/encoders
* Improved the validation of the BatchNorm queue descriptor
* Fixed unit tests where necessary
Change-Id: Icf3fa1332292d38ec2fa0b1cb984cab78426034b
Signed-off-by: Matteo Martincigh <matteo.martincigh@arm.com>
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* Renamed RefFloorFloat32Workload to RefFloorWorkload
and updated references to reflect this change.
* RefFloorWorkload now uses Decoders/Encoders and
supports the use of multiple data types.
* Deleted FloorTestImpl.hpp and moved its contents
into LayerTests.hpp.
Change-Id: Ie079d05f2f6a578172f0fe3024f9607c030bce64
Signed-off-by: James Conroy <james.conroy@arm.com>
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QAsymm8 types
* RefStridedSliceWorkload is no longer a template class
* Refactoring of the ref StridedSlice implementation
* Added ValidateTensorQuantizationSpace function
Change-Id: Ifa182a33d79d42137731f48b995a7973c9d92152
Signed-off-by: Matteo Martincigh <matteo.martincigh@arm.com>
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Change-Id: Iac2ded9b20c37299e3de51465dcbfb5a7bfc52d5
Signed-off-by: nikraj01 <nikhil.raj@arm.com>
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Change-Id: I9af5d2d8ade97b9ecd2e6fbf13db9fa3bb622ed8
Signed-off-by: Ruomei Yan <ruomei.yan@arm.com>
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Change-Id: Ie290efcbb9e3a6365cbd630cb2041e7b0f542505
Signed-off-by: nikraj01 <nikhil.raj@arm.com>
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!android-nn-driver:1210
Change-Id: I940b3b9e421c92bfd55ae996f7bc54ac077f2604
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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* Removed reference reshape workloads for float32 and uint8
* Added RefReshapeWorkload
* Added check for supported datatypes for reshape in WorkloadData
* Added check for supported datatypes for reshape in RefLayerSupport
* Updated CMakeLists.txt
* Updated references to reshape workloads
Signed-off-by: Nina Drozd <nina.drozd@arm.com>
Change-Id: I9941659067b022f8f7686ab0ff14776944dca3e5
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* Refactor FullyConnected workloads into single workload.
* Refactor FullyConnected ref implementation to use Encoders
and Decoders to support all DataTypes.
* Deleted RefFullyConnectedFloat32Workload and
RefFullyConnected2dUint8Workload.
Change-Id: Iad30fb0287ab7491e1297997e7d61f1d00785541
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
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Change-Id: I3cf8d9dbc4f8c95e0e2311505dd7e9f9069f1ab5
Signed-off-by: Ruomei Yan <ruomei.yan@arm.com>
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* Refactored RefConvolution2dWorkload to support all DataTypes through Encoders and Decoders.
* Added Convolute function to ConvImpl that uses Encoders and Decoders to support all DataTypes.
* Deleted RefConvolution2dFloat32Workload and RefConvolution2dUint8Workload.
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ic5ef0f499d08b948fa65fdee54b5f681fd0b1c05
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* Fixed ResizeBilinear test failure on Cpu Reference
Change-Id: I2cf317eae65f1a86ef87badefb3b32ff05dca9e8
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
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* Validate that output is any of supported types in WorkloadData
* Validate that output is any of supported types in RefLayerSupport
* Add test for constant with QuantisedSymm16 in LayerTests
* Add test for creating constant workload in RefCreateWorkloadTests
* Add test for constant with QuantisedSymm16 in RefLayerTests
* Refactor RefConstantWorkload - BaseWorkload instead of TypedWorkload
* Refactor RefConstantWorkload - remove m_RanOnce, use PostAllocationConfigure()
Signed-off-by: Nina Drozd <nina.drozd@arm.com>
Change-Id: Ic30e61319ef4ff9c367689901f7c6d498142a9c5
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Change-Id: Ifeb33db919ef77bf777e114f2d84b88fd595ca2c
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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Change-Id: If2289b2d1fc20f4524fcf4620f01ea3a36d727d2
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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Change-Id: I6d1ea80c9fabd8c50ee030272c51cb66e85e431d
Signed-off-by: Matthew Bentham <Matthew.Bentham@arm.com>
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Signed-off-by: Nattapat Chaimanowong <nattapat.chaimanowong@arm.com>
Change-Id: I6883f878d9f701a55153292769d2fc0530d2529e
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Change-Id: Ia3b9a56787cc68822a3c1635de82e03ecc0aae27
Signed-off-by: Nattapat Chaimanowong <nattapat.chaimanowong@arm.com>
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!android-nn-driver:968
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: I03ccb4842b060a9893567542bfcadc180bbc7311
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+ Added PostAllocationConfigure() method to workload interface
+ Elementwise function now deduces types based on Functor
- Replaced RefComparisonWorkload with RefElementwiseWorkload specialization
+ Fixed up unit tests and minor formatting
Change-Id: I33d08797767bba01cf4efb2904920ce0f950a4fe
Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
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IVGCVSW-2863 Unit test per Elementwise operator with QSymm16 Data Type
* Added QSymm16 support for Elementwise Operators
* Added QSymm16 unit tests for Elementwise Operators
Change-Id: I4e4e2938f9ed2cbbb1f05fb0f7dc476768550277
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
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* Refactor Reference Comparison workload
* Removed templating based on the DataType
* Implemented BaseIterator to do decode/encode
Change-Id: I18f299f47ee23772f90152c1146b42f07465e105
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Signed-off-by: Kevin May <kevin.may@arm.com>
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Change-Id: If048b2a053c542b31ae344fe0af04d9b4f40eb6d
Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
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Change-Id: Ie4ade0519cb0bbe35dc36be6c9cd749b9171c74b
Signed-off-by: Nattapat Chaimanowong <nattapat.chaimanowong@arm.com>
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Change-Id: I9144fb6b7d05561b5b8fd9db5dbe31c9257f10ca
Signed-off-by: Nattapat Chaimanowong <nattapat.chaimanowong@arm.com>
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* Also update Debug layer to use layer guid information
Change-Id: I9ec1f639299c3f855b670ff031a0e88d685cfc6b
Signed-off-by: Nattapat Chaimanowong <nattapat.chaimanowong@arm.com>
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* Refactored Elementwise Workload into the single workload.
* Execute() function will react based on the DataType.
Change-Id: I6d4d6a74cec150ed8cb252e70b629ed968e7093d
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
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* fixed typo in Ref Merger Workload comment
* fixed typo in ViewsDescriptor comment
* made the origins descriptor accessable in the ViewsDescriptor
(needed for serialization)
* based the unit test on the use of the splitter in the CaffeParser
Change-Id: I3e716839adb4eee5a695633377b49e7e18ec2aa9
Signed-off-by: Ferran Balaguer <ferran.balaguer@arm.com>
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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parameters
Change-Id: Ie67ce4966c5e5fef618876b027292da429de1485
Signed-off-by: Ferran Balaguer <ferran.balaguer@arm.com>
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* Assign output shape of MobileNet SSD to ArmNN network
* Add m_OverridenOutputShapes to TfLiteParser to set shape in GetNetworkOutputBindingInfo
* Use input quantization instead of output quantization params
* Correct data and datatype in Inference test
Change-Id: I01ac2e07ed08e8928ba0df33a4847399e1dd8394
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
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* end to end tests for Detection PostProcess float and uint8
* add anchors to AddDetectionPostProcessLayer
* add anchors to VisitDetectionPostProcessLayer
* refactor code
Change-Id: I3c5a9a4a60b74c2246b4a27692bbf3c235163f90
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
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* implementation of DetectionPostProcessQueueDescriptor validate
* add Uint8ToFloat32Workload
* add implementation of Detection PostProcess functionalities
* add ref workload implemenentation for float and uint8
* add layer support for Detection PostProcess in ref
* unit tests
Change-Id: I650461f49edbb3c533d68ef8700377af51bc3592
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* Remove Equal and Greater from RefElementwiseWorkload
* Create RefComparisonWorkload and add Equal and Greater
* Update ElementwiseFunction for different input/output types
* Update TfParser to create Equal/Greater with Boolean output
* Update relevant tests to check for Boolean comparison
Change-Id: I299b7f2121769c960ac0c6139764a5f3c89c9c32
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* Add end to end test for Gather operator
* Add Support for int32 to Constant layer for Ref
* Add Int32Workload
* Add RefConstantWorkload as template for float, uint8, int32
* Remove unused RefBaseConstantWorkload
* Remove unused RefConstantFloat32Workload
* Remove unused RefConstantUint8Workload
* Add support check for int32 in LayerSupport functions
Change-Id: Ic970588a49ebe2aafb12be8adef52371feacaa7b
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* add implemenentation for GatherQueueDescriptor validate function
* add FirstInputTypedWorkload to allow type check on the first input tensor only
* add ref workload implemenentation for float and uint8
* add Gather layer support in Ref
* unit tests
Change-Id: I4578a3211f11d24aa29d15bcf7f45b0445bcd1ee
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separate branch) and master
* Brings in all the changes done for the pluggable backends
* Added sub-graph support and tests
* Added precompiled layer support and tests
* Moved BackendSettings to a separate file
* Removed the backend-specific code
* Ported DebugLayer and associated functionality
* Included fixes to make those changes work with master
Change-Id: Id7028fa7917527b844628d5aff5732e3d94c0488
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*Added Unit Tests
Change-Id: I6cceb8e6dcda35ce08415f8e5ca86019a64d26e3
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in favor of a type-indepent implementation that takes void-pointers
* The new implementation requires the size of the type to be passed
to the function
* Updated all the usages accordingly
* Removed the old implementation no longer used
!android-nn-driver:469
Change-Id: I37f4e6d62a38fbb8ec8c39bb559a2c54c83365d4
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* Unified ArmNN's weight format to [ M, I, H, W ] for the depthwise convolution
* Added conversion utilities to permute/reshape the weights as appropriate
when using CL and Neon backends
* Updated the reference implementation of the convolution
* Updated the relevant unit tests accordingly
!android-nn-driver:459
Change-Id: I07d0818efa9d1ca1e5dad82983aac1fe78eadb18
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